I am a clinical trials statistician at Imperial College. I am currently one of the study statisticians on the COV-boost study which is an exciting trial to be part of. I am looking forward to being part of the analysis team and seeing the results translated in real time as we understand how best to boost the population against COVID-19. COV-Boost (covboost.org.uk)
I previously completed a BSc in Pharmacology at the University of Dundee and an MSc in Applied Statistics in Health Sciences at the University of Strathclyde. My previous role was at Queen Mary University London where I worked both as a trials and research statistician. I worked in the Women’s Health Research Unit and my research interests surrounded using big data sets such as the UKBiobank and Scottish Maternity data to answer research questions. I explored the relationship of birthweight centiles and maternal outcomes in a Scottish population as well as building a female specific cardiovascular risk model. My main trial was TILT; a 3-arm RCT investigating the use of time lapse imaging in embryo selection in women undergoing IVF treatment.
I enjoy engaging with students about my path into statistics and providing guidance on routes into my career. I have given talks as an alumnus of the University of Dundee and I am also involved as a mentor in their Women in Stem Society. I also connect with students undertaking the MSc course I completed at Strathclyde. I am passionate about encouraging people into statistics. I have also been a tutor on the Masters in Public Health at Imperial College
In my spare time I play lacrosse with Central London Lacrosse. I love hunting down the best coffee shops and eating amazing food. I also like to read a lot and love to hear people recommendations. My current recommendation is ‘Weapons of Math Destruction’ by Cathy O'Neil.
et al., 2023, Persistence of immune responses after heterologous and homologous third COVID-19 vaccine dose schedules in the UK: eight-month analyses of the COV-BOOST trial, Journal of Infection, Vol:87, ISSN:0163-4453, Pages:18-26